GPT-4o mini vs Codestral-22B Comparison
Comparing GPT-4o mini and Codestral-22B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o mini outperforms in 1 benchmarks (HumanEval), while Codestral-22B is better at 0 benchmarks.
GPT-4o mini significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only GPT-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).
Input Capabilities
Supported data types and modalities
GPT-4o mini supports multimodal inputs, whereas Codestral-22B does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o mini
Codestral-22B
License
Usage and distribution terms
GPT-4o mini is licensed under a proprietary license, while Codestral-22B uses MNPL-0.1.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MNPL-0.1
Open weights
Release Timeline
When each model was launched
GPT-4o mini was released on 2024-07-18, while Codestral-22B was released on 2024-05-29.
GPT-4o mini is 2 months newer than Codestral-22B.
Jul 18, 2024
1.7 years ago
1mo newerMay 29, 2024
1.8 years ago
Knowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Codestral-22B's cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Codestral-22B's cutoff date.
Oct 2023
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Outputs Comparison
Key Takeaways
GPT-4o mini
View detailsOpenAI
Codestral-22B
View detailsMistral AI
Detailed Comparison
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